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- Tasks: Develop and maintain data infrastructure for a pioneering synthetic travel survey.
- Company: Ipsos is a leading global research company, renowned for its innovative data-driven solutions.
- Benefits: Enjoy 25 days annual leave, flexible working options, and a comprehensive rewards package.
- Why this job: Join a dynamic team influencing media strategy and enhancing audience experiences with cutting-edge technology.
- Qualifications: 3+ years in data engineering, experience with GCP, Python, SQL, and containerisation tools.
- Other info: Ipsos values diversity and offers extensive learning and development opportunities.
The predicted salary is between 48000 - 72000 £ per year.
The Audience Measurement team at Ipsos uses a deep understanding of people to make sense of audiences and how they consume media. We use these insights to influence media strategy, helping clients answer crucial questions, such as how to target audiences, maximise attention across platforms, enhance audience experience, and demonstrate or increase audience value.
We are recruiting a Data Engineer for one of our flagship accounts, Out Of Home - Route. Your work will be essential for the Route project's success. Building robust and scalable infrastructure and being the linchpin between the data platform and data science teams in an 'advisory-like' role will enable data scientists to focus on research and innovation in synthetic data, enhancing data-driven solutions for clients and Ipsos. You will often support the productionisation and scaling of local ML models, guiding the data science teams and providing the guardrails as they develop and iterate.
As a Data Engineer on the ground-breaking Route project, you'll develop and maintain the data infrastructure for a first-of-its-kind synthetic travel survey, generating audience figures for Out-of-Home media in Great Britain. Reporting to a Principal Data and Platform Engineer, you will collaborate with data scientists to design, build, and optimise data pipelines for high-quality audience measurement data.
Your key responsibilities will include:
- Develop robust, scalable data pipelines and optimise data storage solutions on GCP.
- Implement ETL processes and CI/CD pipelines to ensure clean, structured data ready for use.
- Work with data scientists to integrate synthetic models into production environments and provide the guardrails and advice as they develop.
- Provide technical support, troubleshoot issues, and research new technologies to enhance capabilities.
- Document pipelines and the platform including architectures and user guides, helping to enforce data management standards.
- Participate in agile ceremonies and provide occasional client interaction.
- Engage in DataOps practices and improve data delivery performance.
Our Tech Stack:
- GCP: GCS, BigQuery, GKE, Artifact Registry, Vertex AI, App Engine, Data Store, Secret Manager, Pub/Sub
- Open-Source Tools: Argo Workflows, Argo Events, dbt, Elementary, Cerberus, Terraform, Jupyter Hub, Docker, Kubernetes
- Coding Languages: Python, SQL, JavaScript (minimal)
- CI/CD & PM Tools: Azure DevOps, Confluence
It is essential that your personal attributes complement your technical skills. To be successful in this role you will need the following skills and experience:
- A minimum of 3 years relevant commercial experience with experience of scalable data pipelines using Argo on GKE, SQL on BigQuery, Python libraries like Pandas.
- Comfortable with APIs and Cloud storage systems.
- Basic web application development knowledge using Flask, HTML, JavaScript.
- Experience with containerisation (Docker) and orchestration (Kubernetes).
- Familiarity with Terraform and data systems optimisation.
- Commitment to data quality and experience in synthetic data, AI/ML model deployment.
- Excellent communication skills and a collaborative and positive mindset.
- Willingness to learn. GCP certifications are a plus.
Ipsos UK offers an attractive basic salary and a rewards package including 25 days annual leave, a pension scheme and a great range of flexible benefits to suit your personal needs. For roles at Research Manager level and above we also offer private healthcare.
In addition to this we have a fantastic Learning & Development offer delivered through a mix of face to face, online or on-demand; you can read more by clicking here.
We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application.
Ipsos is committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We also recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients.
About Us: Ipsos is one of the world's largest research companies and currently the only one primarily managed by researchers, ranking as a #1 full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we're proud to share we've received our Great Place to Work Certification in 2022 & 2023!
Senior Data Engineer (GCP) employer: Ipsos
Contact Detail:
Ipsos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (GCP)
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, especially GCP services like BigQuery and GKE. Having hands-on experience or projects showcasing your skills with these tools can set you apart during discussions.
✨Tip Number 2
Engage with the data engineering community online, particularly around topics like DataOps and synthetic data. Participating in forums or attending webinars can help you gain insights and make connections that could be beneficial when applying for this role.
✨Tip Number 3
Prepare to discuss your previous experiences with scalable data pipelines and ETL processes in detail. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will demonstrate your problem-solving abilities.
✨Tip Number 4
Showcase your collaborative mindset by thinking of ways you can contribute to team dynamics. Consider how you can support data scientists in their work and be prepared to discuss how you’ve successfully collaborated in past roles.
We think you need these skills to ace Senior Data Engineer (GCP)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with GCP and scalable data pipelines. Use specific examples that demonstrate your skills in Python, SQL, and any tools mentioned in the job description.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with the responsibilities of developing data infrastructure and collaborating with data scientists. Be sure to include your commitment to data quality and any relevant projects you've worked on.
Showcase Technical Skills: When detailing your technical skills, be specific about your experience with the tools and technologies listed in the job description, such as Argo, BigQuery, and Docker. Highlight any GCP certifications you may have, as they can set you apart from other candidates.
Demonstrate Soft Skills: Since excellent communication and collaboration are key for this role, provide examples in your application that showcase your ability to work well in teams and your positive mindset. This could be through past projects or experiences where you successfully collaborated with others.
How to prepare for a job interview at Ipsos
✨Showcase Your Technical Skills
Be prepared to discuss your experience with GCP, particularly with tools like BigQuery and GKE. Highlight specific projects where you've built scalable data pipelines or implemented ETL processes, as this will demonstrate your hands-on expertise.
✨Emphasise Collaboration
Since the role involves working closely with data scientists, share examples of how you've successfully collaborated in past projects. Discuss your approach to providing guidance and support, especially in integrating models into production environments.
✨Demonstrate Problem-Solving Abilities
Prepare to talk about challenges you've faced in previous roles, particularly related to data quality or pipeline optimisation. Explain how you approached these issues and what solutions you implemented, showcasing your analytical thinking.
✨Express Your Willingness to Learn
Ipsos values a positive mindset and a commitment to learning. Be ready to discuss any new technologies or methodologies you're currently exploring, and express your enthusiasm for continuous professional development in the data engineering field.
